Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration [0.03%]
低信噪比图像恢复的深度学习方法比较
Nasreen Elizabeth Buhn,Sriya Reddy Adunur,Joseph Hamilton et al.
Nasreen Elizabeth Buhn et al.
Background: Live-cell fluorescence microscopy enables the study of dynamic cellular processes. However, fluorescence microscopy can damage cells and disrupt these dynamic processes through photobleaching and phototoxicity...
ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images [0.03%]
ScopeViewer：一种基于浏览器的大规模生物图像可视化解决方案
Danni Luo,Sophie Robertson,Yuanchun Zhan et al.
Danni Luo et al.
Background: Spatial transcriptomics (ST) enables a high-resolution interrogation of molecular characteristics within specific spatial contexts and tissue morphology. Despite its potential, visualization of ST data is a ch...
ChatMDV: Reducing Technical Barriers in Bioinformatics Analysis using Large Language Models [0.03%]
基于大语言模型降低生物信息学分析技术障碍的ChatMDV系统
Maria Kiourlappou,Peter Todd,Yaxuan Kong et al.
Maria Kiourlappou et al.
Background: The rapid advancement in single-cell, spatial omics, imaging, and genomic technologies requires robust analytical and visualisation platforms capable of managing complex biological data. Tools such as Multi-Di...
ClusterGraph: a new tool for visualisation and compression of multidimensional data [0.03%]
ClusterGraph：一种多维数据可视化和压缩的新工具
Paweł Dłotko,Davide Gurnari,Mathis Hallier et al.
Paweł Dłotko et al.
Understanding the organisation of high-dimensional data is of primary interest for many branches of applied sciences. It is typically achieved by applying dimensionality reduction techniques which, while preserving local features, often mis...
MultiMS2: A curated multi-modal, multi-energy spectral library for metabolomics [0.03%]
MultiMS2：一种经过整理的代谢组学多模态、多种能量谱库
Adriano Rutz,Mario S P Correia,Nicola Zamboni
Adriano Rutz
Background: Spectral libraries are essential for mass spectrometry-based metabolomics, enabling accurate metabolite annotation. Collision-induced dissociation (CID) dominates existing public libraries, but is rarely suffi...
A large dataset of brain imaging linked to health systems data: curation and access to a whole system national cohort from NHS Scotland [0.03%]
一个大型脑影像数据集与卫生系统数据关联：对来自苏格兰国民医疗卫生制度全国队列的整理和访问
Michael P J Camilleri,Dorian Gouzou,Salim Al-Wasity et al.
Michael P J Camilleri et al.
We present the design and implementation of a data curation framework to generate a large-scale clinical brain imaging dataset suitable for artificial intelligence (AI) enabled image analysis. The dataset is accessible through the Brain Hea...
Petr Danecek,Eugene J Gardner,Joanna Kaplanis et al.
Petr Danecek et al.
Background: Identifying de novo mutations (DNM) is an important component of both genetic research studies and clinical diagnostic workflows, but is complicated by distinguishing true mutations from sequencing errors. Lik...
CPSM: An R Package for Cancer Patient Survival Risk Model Using Transcriptomics and Clinical Data [0.03%]
基于转录组和临床数据的癌症患者生存风险模型R语言软件包CPSTM
Harpreet Kaur,Pijush Das,Kevin Camphausen et al.
Harpreet Kaur et al.
Traditional Kaplan-Meier curves capture aggregate survival trends within broad patient subgroups but overlook the heterogeneity of individual patients. In contrast, single-patient survival risk models bridge this gap by incorporating each p...
Integrated multi-omics profiling identifies genetic loci of African swine fever resistance in pigs [0.03%]
整合多组学分析鉴定出猪非洲猪瘟抗性相关遗传位点
Xiaowei Ye,Qinqin Xie,Caiyun Cao et al.
Xiaowei Ye et al.
African swine fever (ASF) remains a persistent threat to global pig production, with no licensed vaccines or effective treatments available. Observations of surviving individuals within low-virulence infected herds suggest that host genetic...
EEG-based dataset explicitly targets the transitions between sitting and standing for exploring neural activation patterns in Motor Imagery and execution [0.03%]
基于EEG的数据集明确针对坐立之间的过渡，用于探索运动意象和执行中神经激活模式
Benjakarn Uengsawapak,Supavit Kongwudhikunakorn,Suktipol Kiatthaveephong et al.
Benjakarn Uengsawapak et al.
This study presents the first publicly accessible electroencephalography (EEG) dataset explicitly targeting sit-to-stand and stand-to-sit transitions during both motor execution (ME) and motor imagery (MI) tasks. Twenty-two healthy particip...